On the Representation of Causal Background Knowledge and its Applications in Causal Inference.
Zhuangyan FangRuiqi ZhaoYue LiuYangbo HePublished in: CoRR (2022)
Keyphrases
- background knowledge
- causal inference
- representation language
- causal models
- inductive logic programming
- additive noise
- abductive reasoning
- logic programs
- nonmonotonic reasoning
- domain knowledge
- discrete data
- prior knowledge
- rare events
- semantic information
- knowledge base
- information retrieval
- databases
- machine learning